Regression Models

Regression Models for Categorical Dependent Variables Using Stata (3rd Edition) (Repost)

Regression Models for Categorical Dependent Variables Using Stata (3rd Edition) By J. Scott Long, Jeremy Freese
2014 | 589 Pages | ISBN: 1597181110 | scanned PDF | 37 MB

Python For Simple, Multiple And Polynomial Regression Models  eBooks & eLearning

Posted by ELK1nG at Oct. 11, 2023
Python For Simple, Multiple And Polynomial Regression Models

Python For Simple, Multiple And Polynomial Regression Models
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.76 GB | Duration: 6h 43m

Complete Linear Regression Analysis - Theory, Intuition, Mathematics and Implementation in Python.
Regression Models for Categorical Dependent Variables Using Stata (3rd Edition) (Repost)

Regression Models for Categorical Dependent Variables Using Stata (3rd Edition) By J. Scott Long, Jeremy Freese
2014 | 589 Pages | ISBN: 1597181110 | scanned PDF | 37 MB

Regression Models for Categorical Dependent Variables Using Stata (3rd Edition)  eBooks & eLearning

Posted by enmoys at May 15, 2016
Regression Models for Categorical Dependent Variables Using Stata (3rd Edition)

Regression Models for Categorical Dependent Variables Using Stata (3rd Edition) By J. Scott Long, Jeremy Freese
2014 | 589 Pages | ISBN: 1597181110 | scanned PDF | 37 MB

Regression Models With Python For Beginners  eBooks & eLearning

Posted by Free butterfly at June 4, 2021
Regression Models With Python For Beginners

Regression Models With Python For Beginners: Theory and Applications of Linear Models and Logistic Model with python from Scratch by AI Publishing
English | February 8, 2020 | ISBN: 1733042679 | 128 pages | EPUB | 3.68 Mb

Coursera - Regression Models by John Hopkins University  eBooks & eLearning

Posted by kabino at March 20, 2021
Coursera - Regression Models by John Hopkins University

Coursera - Regression Models by John Hopkins University
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 815.64 Mb
Genre: eLearning Video | Duration: 3h 35m | Language: English

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.

Applications of Regression Models in Epidemiology  eBooks & eLearning

Posted by interes at Feb. 22, 2017
Applications of Regression Models in Epidemiology

Applications of Regression Models in Epidemiology by Erick Su?rez and Cynthia M. P?rez
English | 2017 | ISBN: 1119212480 | 272 pages | PDF | 6,4 MB

Applications of Regression Models in Epidemiology  eBooks & eLearning

Posted by Underaglassmoon at Dec. 16, 2017
Applications of Regression Models in Epidemiology

Applications of Regression Models in Epidemiology
Wiley | English | 2017 | ISBN-10: 1119212480 | 272 pages | EPUB | 3.09 mb

by Erick Suarez (Author),‎ Cynthia M. Perez (Author),‎ Roberto Rivera (Author),‎ Melissa N. Marti­nez (Author)

Interpreting and Visualizing Regression Models Using Stata Ed 2  eBooks & eLearning

Posted by arundhati at Jan. 17, 2021
Interpreting and Visualizing Regression Models Using Stata Ed 2

Michael N. Mitchell, "Interpreting and Visualizing Regression Models Using Stata Ed 2"
English | ISBN: 1597183210 | 2020 | 610 pages | PDF | 30 MB

Interpreting and Visualizing Regression Models Using Stata, 2nd Edition  eBooks & eLearning

Posted by yoyoloit at Dec. 26, 2021
Interpreting and Visualizing Regression Models Using Stata, 2nd Edition

Interpreting and Visualizing Regression Models Using Stata, 2nd Edition
by Michael N. Mitchell;

English | 2021 | ISBN: ‎ 1597183210 | 610 pages | True EPUB | 16.29 MB